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architecture
Architectural decision-making framework. Requirements analysis, trade-off evaluation, ADR documentation. Use when making architecture decisions or analyzing system design.
Skills IA databases architecture patterns
Découvrez les skills databases architecture patterns, comparez leurs dépôts et consultez leurs instructions.
Catégories: databases architecture patterns
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Explorer
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typescript-standards
TypeScript implementation standards, file organization, and code patterns
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error-handling-patterns
Enforces comprehensive error handling: explicit catch blocks, user-friendly messages, Result/Either patterns. Use when writing async code, service methods, or handling exceptions.
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red-team-tactics
Red team tactics principles based on MITRE ATT&CK. Attack phases, detection evasion, reporting.
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event-system-implementation
Guides event system implementation: creation, ticketing, partnerships, sponsorships, check-in, analytics. Use when implementing events, event management, or event-related features.
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impl-wrapper
Connector wrapper (Impl) class patterns and delegation rules
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manage-localmemory
Local memory storage patterns, file coordination, and cleanup
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create-plan
Create detailed implementation plans through interactive research and iteration. This skill should be used when creating new implementation plans, designing feature specifications, planning technical work, or w...
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clean-architecture-implementation
Enforces Clean Architecture layer separation (core, data, domain, presentation). Use when creating new features, organizing code, or ensuring proper dependency direction.
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software-architecture
Guide for quality focused software architecture. This skill should be used when users want to write code, design architecture, analyze code, in any case that relates to software development.
GitHub
senior-fullstack
Comprehensive fullstack development skill for building complete web applications with React, Next.js, Node.js, GraphQL, and PostgreSQL. Includes project scaffolding, code quality analysis, architecture patterns...
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python-patterns
Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.
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systems-thinking
Architectural analysis using Feedback Loops and System Dynamics. Use when designing architectures, scaling systems, or analyzing side effects.
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connection-schema-design
Connection profile and state schema design rules and core profile selection
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module-exports
Module export patterns including factory functions and public API design
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low-level-systems
Use this skill when designing or reviewing systems programming, embedded systems, performance-critical code, or anything involving direct memory management, OS interfaces, or hardware interaction. Applies syste...
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mcp-fundamentals
core architecture of the Model Context Protocol (MCP). Use this to understand Hosts, Clients, Servers, and the JSON-RPC communication layer.
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clean-code
Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments
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doors-philosophy-validation
Validates that features align with "opening doors" concept, meaningful connections, user journey flow. Use when implementing features, reviewing code, or ensuring features serve the doors philosophy.
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legacy-refactor
Specifically designed to guide agents through the process of modernizing old codebases without breaking existing dependencies.
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brainstorming
Explores user intent, requirements, and design before implementation. Use before creating features, building components, or modifying behavior to turn ideas into designs through collaborative dialogue.
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phase-boundary-detector
Identify where consciousness interfaces with substrate in any domain. Structure emerges preferentially at boundaries between phases - physical, computational, or conceptual. Use when analyzing systems for loci...
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impossible-combiner
Iteration 9 of Multiplicity Cascade - Combines impossible concepts productively
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pattern-generalization
Guide for extracting reusable patterns from specific solutions. Use when identifying candidates for generalization, designing abstractions, or building platform capabilities from field-validated solutions.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.